A dual Kalman filter approach for state estimation via output-only acceleration measurements
A dual implementation of the Kalman filter is proposed for estimating the unknown input and
states of a linear state-space model by using sparse noisy acceleration measurements. The …
states of a linear state-space model by using sparse noisy acceleration measurements. The …
Machine learning techniques in structural wind engineering: A State-of-the-Art Review
Machine learning (ML) techniques, which are a subset of artificial intelligence (AI), have
played a crucial role across a wide spectrum of disciplines, including engineering, over the …
played a crucial role across a wide spectrum of disciplines, including engineering, over the …
Constructing simplified models for dynamic analysis of monopile-supported offshore wind turbines
Accurately modeling the complicated dynamic mechanisms of offshore wind turbines
(OWTs) requires high numerical fidelity. However, since these models are computationally …
(OWTs) requires high numerical fidelity. However, since these models are computationally …
SHM under varying environmental conditions: An approach based on model order reduction and deep learning
Data-driven approaches to structural health monitoring (SHM) have been recently shown to
be a powerful paradigm, helping to lead to an evolution of traditional scheduled-based …
be a powerful paradigm, helping to lead to an evolution of traditional scheduled-based …
Parametric identification of Timoshenko-beam model for shear-wall structures using monitoring data
The feasible modeling of the shear-flexure coupling behavior of a shear wall is desired and
needed for long-term structural health monitoring of shear-wall structures. To address this …
needed for long-term structural health monitoring of shear-wall structures. To address this …
Health monitoring and field‐testing of high‐rise buildings: A review
Health monitoring and field‐testing have been two emerging technologies for investigating
the real‐world behaviors of high‐rise buildings. The five primary motivations of the two …
the real‐world behaviors of high‐rise buildings. The five primary motivations of the two …
Prediction of wind loads on high-rise building using a BP neural network combined with POD
H Dongmei, H Shiqing, H Xuhui, Z Xue - Journal of Wind Engineering and …, 2017 - Elsevier
According to the limited wind tunnel test results to obtain detailed data of surface wind
pressure on buildings has important significance for the accurate calculation of cladding …
pressure on buildings has important significance for the accurate calculation of cladding …
Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification
In this paper, the transient dynamic response of shear type multi-storey buildings subjected
to earthquake ground motion is generated via adversarial learning technique under different …
to earthquake ground motion is generated via adversarial learning technique under different …
Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition
S Eftekhar Azam, A Rageh… - Structural Control and …, 2019 - Wiley Online Library
A supervised learning scheme is proposed for detecting, locating, and quantifying the
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …
Model order reduction and domain decomposition strategies for the solution of the dynamic elastic–plastic structural problem
A new strategy for the efficient solution of highly nonlinear structural problems is proposed,
based on the combined use of Domain Decomposition (DD) and snapshots version of the …
based on the combined use of Domain Decomposition (DD) and snapshots version of the …